Results 11 to 20 of about 277,674 (289)

Nonlinear quantile regression to describe the dry matter accumulation of garlic plants [PDF]

open access: yesCiência Rural, 2020
: The objective of this study was to adjust nonlinear quantile regression models for the study of dry matter accumulation in garlic plants over time, and to compare them to models fitted by the ordinary least squares method. The total dry matter of nine
Guilherme Alves Puiatti   +7 more
doaj   +1 more source

Nonlinearity Valuation Adjustment [PDF]

open access: yes, 2016
We develop a consistent, arbitrage-free framework for valuing derivative trades with collateral, counterparty credit risk, and funding costs. Credit, debit, liquidity, and funding valuation adjustments (CVA, DVA, LVA, and FVA) are simply introduced as modifications to the payout cash flows of the trade position.
Damiano Brigo   +3 more
openaire   +1 more source

On weighted total least squares adjustment for solving the nonlinear problems

open access: yesJournal of Geodetic Science, 2014
In the classical geodetic data processing, a non- linear problem always can be converted to a linear least squares adjustment. However, the errors in Jacob matrix are often not being considered when using the least square method to estimate the optimal ...
Hu C., Chen Y., Peng Y.
doaj   +1 more source

A partially linear approach to modelling the dynamics of spot and futures prices [PDF]

open access: yes, 2008
In this paper we consider the dynamics of spot and futures prices in the presence of arbitrage. We propose a partially linear error correction model where the adjustment coefficient is allowed to depend non-linearly on the lagged price difference.
Gaul, Jürgen, Theissen, Erik
core   +1 more source

Covariate-adjusted nonlinear regression

open access: yesThe Annals of Statistics, 2009
In this paper, we propose a covariate-adjusted nonlinear regression model. In this model, both the response and predictors can only be observed after being distorted by some multiplicative factors. Because of nonlinearity, existing methods for the linear setting cannot be directly employed.
Cui, Xia   +3 more
openaire   +3 more sources

Nonlinear Rossby adjustment in a channel [PDF]

open access: yesJournal of Fluid Mechanics, 1999
The Rossby adjustment problem for a homogeneous fluid in a channel is solved for large values of the initial depth discontinuity. We begin by analysing the classical dam break problem in which the depth on one side of the discontinuity is zero. An approximate solution for this case can be constructed by assuming semigeostrophic dynamics and using ...
Helfrich, K. R.   +2 more
openaire   +2 more sources

Nonlinear short-run adjustments between house and stock prices in emerging Asian regions [PDF]

open access: yesPanoeconomicus, 2018
This study uses the powerful nonparametric cointegration test to examine whether nonlinear cointegration exists between prices of used houses and corresponding stock markets in China and the four Asian Tigers.
Fang Hao   +2 more
doaj   +1 more source

Adjustment of Code Ranging of GNSS Observations

open access: yesCommunications, 2016
Gauss-Jacobi combinatorial algorithm is a very useful method to adjust code ranging of global navigation satellite observations to find the systematic errors caused by radio waves passing through the atmosphere.
Jana Izvoltova   +3 more
doaj   +1 more source

Nonlinear Systematic Distortions Compensation in Satellite Images Based on an Equivalent Geometric Sensor Model Recovered From RPCs

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The rational polynomial function is widely accepted as the preferred sensor model for high-resolution satellite imagery (HRSI). However, satellite images and their associated rational polynomial coefficients (RPCs) often suffer from nonlinear systematic ...
Hui Cao   +3 more
doaj   +1 more source

Adjustable robust optimization with nonlinear recourses

open access: yes4OR, 2023
Over the last century, mathematical optimization has become a prominent tool for decision making. Its systematic application in practical fields such as economics, logistics or defense led to the development of algorithmic methods with ever increasing efficiency.
openaire   +3 more sources

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